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Lightup + Dremio

Data Quality for Dremio

Fuel Self-Service Analytics with Reliable Data

Enable Lightup Data Quality for Dremio to fuel self-service analytics with reliable, high-quality data — without moving or copying data.

Data Quality Monitoring for Dremio

Connect Lightup directly to Dremio in minutes with a prebuilt connector. Modern enterprises with huge data volumes stored across multiple cloud and on-premises systems face ongoing challenges scaling self-service analytics in complex data environments due to:

  • Costly, time-consuming processes finding, fixing, and moving data into one place for analysis
  • Data silos and lack of easy data access for analysts
  • Scarce, expensive data engineering resources
  • Unreliable, poor-quality data

Lightup is the first business-friendly platform to connect directly to Dremio for modern Data Quality Monitoring with AI-powered Anomaly Detection and Incident Alerts.

Dremio

Dremio for Self-Service Analytics

Built on Apache Arrow, Dremio is the only Open Unified Lakehouse Platform enabling analysts and engineers to query and retrieve datasets across data sources for self-service analytics, regardless of where data is stored.

With advanced data virtualization, cataloging, and query optimization, Dremio operates like a modern data platform, offering an easy way for analysts to access and analyze data — without extracting, transforming, and loading data (ETL).

Lightup and Dremio Integration

The Lightup integration with Dremio allows analysts and data engineers to write no-code, low-code, and custom SQL queries to check the quality of the data that Dremio returns.

Lightup pushes Data Quality Checks down to Dremio, where they get pushed down to the data source(s) Dremio is connected to — without data movement or data replication.

Together, Lightup and Dremio provide a powerful solution for eliminating data silos and fueling self-service analytics with reliable, accurate data.

Lightup and Dremio Integration Architecture

Solution Highlights

Referential Integrity Checks

Validate data integrity across tables, schemas, and supported data sources, including data as code, metastores, local and cloud-based object stores, and CSV files.

Data Issue Remediation

Accelerate root cause analysis to remediate incidents with Lightup’s Failing Records Query that surfaces up to 10,000 failed records for investigation.

One Connector, All Sources

Enable complete Data Quality coverage across your entire Dremio data stack with Lightup’s prebuilt Dremio connector.

Key Benefits

Improve Analytics Efficiency

Simplify analytics workflows by querying, analyzing, and running Data Quality Checks across multiple sources with Dremio and Lightup, without moving data between systems and loading it into one place for analysis and data scans.

Ensure Data Reliability

Run referential integrity checks at scale with automatic slicing to ensure data consistency and accuracy across disparate data sources like Amazon Redshift, Amazon S3, and MongoDB for reliable data insights and accurate analytical outputs.

Reduce Operational Costs

Reduce operational costs associated with typical analytics and Data Quality workflows by eliminating the need to extract, transform, and load (ETL) data from disparate sources into a single location to run analytics and Data Quality Checks the conventional way.

Expand Data Quality Coverage

Expand Lightup’s Data Quality coverage to include Dremio’s wide range of supported data sources, such as NoSQL databases and CSV files.

Resources

Blog

Docs

Get Started with Lightup Data Quality for Dremio

Enable Lightup Data Quality for Dremio to fuel self-service analytics with reliable, high-quality data.
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